Personalised · Practical · Instructor-led
Private tutoring,
built around you.
Develop practical skills in Excel, SQL and Power BI with individual guidance, structured lessons and hands-on activities tailored to your learning goals.
Prices are shown in Nigerian naira before secure payment.
Turning data into decisions
Learning in progressExplore
Ask the right questions
Explain
Share clear insights
- Private 1-to-1 support
- 60–90 minute sessions
- Practical exercises
- Flexible scheduling
Choose your focus
Four ways to learn, one personal approach.
Choose a single subject or build a broader foundation. Each option includes individual guidance and practical learning activities.
Microsoft Excel
Spreadsheets, formulas, data preparation, PivotTables and practical analysis.
6 weeks₦60,000
SQL
Querying, filtering, joins, grouping, aggregations and answers to data tasks.
5 weeks₦70,000
Power BI
Power Query, data models, DAX and clear interactive reporting.
6 weeks₦80,000
Complete Data Analytics
Build connected skills in Excel, SQL and Power BI through a combined pathway.
Combined pathway₦200,000
A structured routine, flexible around you
Guided sessions.
Time to practise.
The standard arrangement is typically two live sessions each week, with exact days agreed individually. One session per week may be arranged and will extend the calendar timeline.
2 sessions
Typical weekly rhythm
60–90 min
Per live session
4 weeks
Core teaching period
Project work
After teaching
6 weeks programme
Excel tutoring.
Turn untidy spreadsheets into reliable analysis, useful KPIs and a professional dashboard.
Week 01
Clean & prepare data
Manual cleaning and Power Query automation with real monthly sales files.
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Session A · Manual data cleaning
Inspect raw data; fix blanks and duplicate rows; standardise text, dates, currencies and percentages; apply Flash Fill and Text to Columns.
Session B · Power Query automation
Combine January and February sales files from a folder; transform a sample file; load the cleaned result; test refresh with March data.
Practical output: A clean, structured and refreshable monthly sales table.
Week 02
Calculate business metrics
Formulas, VLOOKUP, XLOOKUP and a complete sales analysis table.
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Session A · Formulas and lookups
Practise calculated columns, references, VLOOKUP, XLOOKUP and core business calculations using sample sales data.
Session B · A complete sales analysis table
Calculate discount amounts, net sales, average order value, date attributes, delivery and discount flags; refresh new data.
Practical output: A workbook with reliable calculated columns and enriched sales records.
Week 03
Analyse and visualise
PivotTables, KPI planning, charts, KPI cards and connected slicers.
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Session A · PivotTables and KPI planning
Define the questions to answer; build PivotTables and KPI calculations for the chosen business measures.
Session B · Charts, KPI cards and slicers
Create clear charts and KPI cards; connect slicers; test report interactions and highlight meaningful comparisons.
Practical output: A working Excel report with KPIs, visuals and connected filters.
Week 04
Build your dashboard
Bring the previous weeks together into a practical, polished dashboard.
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Session A · Dashboard construction
Arrange KPI cards, charts and slicers into a consistent dashboard and write clear business insights.
Session B · Refinement and insight review
Review calculation accuracy, chart titles, readability and interactivity; explain observations and recommended actions.
Practical output: A complete guided Excel dashboard and written analysis.
Week 05
Independent capstone
Use a fresh sales dataset to clean, calculate, build an interactive dashboard and summarise key insights.
Week 06
Present your insights
Present your dashboard, explain calculations and visual choices, and discuss findings and recommendations.
Private tutoring fee
₦60,000
- 2 sessions / week typical
- 60–90 min each
- 6 weeks
5 weeks programme
SQL tutoring.
Build practical SQL confidence by setting up a database, writing analytical queries and answering real business questions.
Week 01
Build the database
MySQL Workbench setup, CSV imports, backups and SQL cleaning on a Northwind-style dataset.
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Session A · Database setup and importing
Create schemas and tables; choose data types; understand primary and composite keys; import CSV files and verify records.
Session B · Backups and SQL cleaning
Create backup tables; check NULLs, distinct values and duplicates; practise TRIM, text updates, deletions and inserts safely.
Practical output: An imported and cleaned retail database with basic validation queries.
Week 02
Query & calculate
SELECT, WHERE, ORDER BY, aggregates and calculated sales measures.
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Session A · Filtering, sorting and aggregating
Practise SELECT, WHERE, ORDER BY, LIMIT, COUNT, MIN, MAX, AVG, SUM and rounding results.
Session B · Calculated sales measures
Calculate prices before discount, discounts and net totals; combine measures and save analytical outputs in a new table.
Practical output: Queries and a reusable table of calculated order-detail metrics.
Week 03
Connect & investigate
JOINs, table relationships, subqueries and business KPIs.
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Session A · JOINs and table relationships
Use INNER, LEFT and RIGHT JOINs and learn a UNION-based full-join alternative in MySQL.
Session B · Subqueries and business KPIs
Use nested queries with IN and comparisons; answer questions about products, customers, orders and revenue.
Practical output: A set of queries answering practical customer and product questions.
Week 04
Advanced SQL analysis
Window functions, RANK, DENSE_RANK, CASE and CTEs.
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Session A · Analytical window functions
Calculate partition-level totals and averages; compare ROW_NUMBER, RANK and DENSE_RANK.
Session B · CASE and Common Table Expressions
Create conditional categories; use WITH expressions to simplify multi-step queries and join derived outputs.
Practical output: A readable collection of analytical queries using window functions, CASE and CTEs.
Week 05
Final project submission
Complete and submit a practical SQL project on a business dataset, with a short explanation of the insights.
SQL teaching ends in Week 4. Week 5 is reserved for completing and submitting the assigned SQL project — no presentation.
Private tutoring fee
₦70,000
- 2 sessions / week typical
- 60–90 min each
- 5 weeks
6 weeks programme
Power BI tutoring.
Prepare data, create reliable relationships and DAX measures, and present business performance in interactive reports.
Week 01
Prepare and explore data
Get started with Power BI and advanced Power Query on real sales data.
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Session A · Getting started with Power BI
Import a CSV; rename and clean fields; check data types and duplicates; build a table, card and column chart.
Session B · Advanced Power Query
Combine monthly sales files; create custom, date and conditional columns; check transformations and load the prepared dataset.
Practical output: A cleaned sales model with basic visuals and repeatable Power Query steps.
Week 02
Model data & write DAX
Relationships, star schema, a Date table and KPI measures.
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Session A · Relationships and star schema
Import customer, product, store and sales-representative tables; model one-to-many relationships and test the joins.
Session B · Date table and DAX measures
Create and mark a Date table; sort month/day labels; calculate sales, profit, orders, quantity and profit-margin measures.
Practical output: A connected data model and verified DAX measures for reporting.
Week 03
Plan & build reports
Turn a business request into a working analytical report.
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Session A · Business requirements and planning
Identify questions, KPIs and visuals; choose appropriate charts and slicers; sketch the report structure.
Session B · Moodboarding, wireframing and build
Explore layout inspiration, create a wireframe and build a RetailMax-style dashboard using your KPIs, charts and slicers.
Practical output: A guided executive sales dashboard with interactive visuals.
Week 04
Test, refine & tell the story
Polish the dashboard for clarity, accuracy and confident presentation.
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Session A · Quality assurance and usability
Check table relationships, totals and filter behaviour; verify DAX results; improve labels, navigation, formatting and accessibility.
Session B · Insight storytelling and capstone readiness
Write concise findings, explain business performance, practise presenting results and review the independent capstone brief.
Practical output: A tested and professionally refined Power BI report with an insight summary.
Week 05
Independent capstone
Use a new dataset and brief to build a complete model, DAX measures, an interactive dashboard and clear findings.
Week 06
Present your dashboard
Present the finished dashboard and explain the questions, calculations, interactive features, findings and recommendations.
Private tutoring fee
₦80,000
- 2 sessions / week typical
- 60–90 min each
- 6 weeks
Learn by doing
Finish with work you can explain.
Your learning includes practical exercises throughout, plus a final project tailored to the subject.
Excel
An independent dashboard capstone, presented in Week 6.
SQL
A final SQL analysis project, submitted in Week 5.
Power BI
An independent dashboard capstone, presented in Week 6.
Clear & confident
Know what you're learning before you pay.
Explore each programme, see what's included and complete a short application. All fees are listed in Nigerian naira (NGN) and shown clearly before secure checkout.
Payment follows your application, through secure checkout.
Programme fees
- Excel tutoring6 weeks
- ₦60,000
- SQL tutoring5 weeks
- ₦70,000
- Power BI tutoring6 weeks
- ₦80,000
- Complete packageExcel + SQL + Power BI
- ₦200,000
All prices displayed in NGN. International learners may be offered supported currencies and payment methods at checkout. The combined programme follows an individually agreed schedule.
Simple from start to finish
How private tutoring works.
There's no requirement to register a student account or book a consultation just to apply.
- 1
Choose your focus
Select Excel, SQL, Power BI or the combined programme.
- 2
Complete a short form
Share your experience, preferred availability and contact details.
- 3
Pay securely
After the application, continue to secure checkout using an available payment method.
- 4
Receive joining details
Once your payment is verified, we'll contact you on WhatsApp to agree your schedule.
Good to know
Questions, answered.
Everything you need to decide which private tutoring option is right for you.
Ready to build practical data skills?
Choose your programme and tell us a little about your learning goals.